The model, which was created by the TensorFlow team, is a 20 KB convolutional neural network (or CNN) trained on gesture data from 10 people performing four gestures fifteen times each (ring, wing, slope, and an unknown gesture).
Besides being a fun and easy example of ML for IoT, Satrom also highlights the utility of performing machine learning computations on edge devices:
If you’re working with a high-precision sensor and you need to make a decision based on raw data, you often cannot shoulder the cost of sending all that data to the cloud. And even if you could, the round trip latency runs counter to the frequent need for real-time decision-making.
By performing prediction on a microcontroller, you can process all that raw data on the edge, quickly, without sending a single byte to the cloud.
If you would like to learn more check out the GitHub repo for this work.
Written by Rebecca Minich, Product Analyst in Data Science at Google. Opinions expressed are solely my own and do not express the views or opinions of my employer.
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.